Best Data Security Software for Apache Kafka

Data visibility and control for security, compliance, privacy, and governance. BigID's platform includes a foundational data discovery platform combining data classification and cataloging for finding personal, sensitive and high value data - plus a modular array of add on apps for solving discrete problems in privacy, security and governance. Automate scans, discovery, classification, workflows, and more on the data you need - and find all PI, PII, sensitive, and critical data across unstructured and structured data, on-prem and in the cloud. BigID uses advanced machine learning and data intelligence to help enterprises better manage and protect their customer & sensitive data, meet data privacy and protection regulations, and leverage unmatched coverage for all data across all data stores.

IRI Voracity is an end-to-end software platform for fast, affordable, and ergonomic data lifecycle management. Voracity speeds, consolidates, and often combines the key activities of data discovery, integration, migration, governance, and analytics in a single pane of glass, built on Eclipse™. Through its revolutionary convergence of capability and its wide range of job design and runtime options, Voracity bends the multi-tool cost, difficulty, and risk curves away from megavendor ETL packages, disjointed Apache projects, and specialized software. Voracity uniquely delivers the ability to perform data: * profiling and classification * searching and risk-scoring * integration and federation * migration and replication * cleansing and enrichment * validation and unification * masking and encryption * reporting and wrangling * subsetting and testing Voracity runs on-premise, or in the cloud, on physical or virtual machines, and its runtimes can also be containerized or called from real-time applications or batch jobs.

Secuvy, a next-generation cloud platform, automates data security, privacy compliance, and governance via AI-driven workflows. Unstructured data is treated with the best data intelligence. Secuvy, a next-generation cloud platform that automates data security, privacy compliance, and governance via AI-driven workflows is called Secuvy. Unstructured data is treated with the best data intelligence. Automated data discovery, customizable subjects access requests, user validations and data maps & workflows to comply with privacy regulations such as the ccpa or gdpr. Data intelligence is used to locate sensitive and private information in multiple data stores, both in motion and at rest. Our mission is to assist organizations in protecting their brand, automating processes, and improving customer trust in a world that is rapidly changing. We want to reduce human effort, costs and errors in handling sensitive data.

Baffle delivers comprehensive data protection solutions that secure data from any origin to any endpoint, allowing organizations to manage visibility over their information. Companies are continually facing cybersecurity challenges, including ransomware attacks, alongside the potential for losing their data assets in both public and private cloud environments. Recent changes in data management regulations and the necessity for enhanced protection have transformed the methods by which data is stored, accessed, and analyzed. By recognizing that data breaches are inevitable, Baffle aims to make such incidents insignificant, offering a crucial layer of defense that guarantees unprotected data remains inaccessible to malicious actors. Our solutions are designed to secure data right from its inception and maintain that security throughout its processing stages. With Baffle's dynamic data security framework applicable to both on-premises and cloud environments, users benefit from various data protection options. This includes the ability to safeguard information in real-time as it transitions from a source data repository to cloud databases or object storage, thereby enabling the safe handling of sensitive information. In this way, Baffle not only protects data but also enhances the overall trust in data management practices.

Theom is an advanced cloud data security solution designed to uncover and safeguard all types of data found in cloud storage, APIs, and message queues. Much like a vigilant bodyguard dedicated to protecting valuable assets, Theom ensures that security measures are consistently applied to data, regardless of its storage or access method. By utilizing agentless scanning and natural language processing classifiers, Theom effectively identifies personally identifiable information (PII), protected health information (PHI), financial data, and trade secrets, while accommodating customized taxonomies. Additionally, it reveals dark data—information that remains unused—and shadow data, which has a different security posture compared to its primary version. Theom excels in locating sensitive information, such as developer keys, within APIs and message queues. To assist organizations in prioritizing threats, Theom also assesses the financial impact of data. Furthermore, it maps the intricate relationships between datasets, access identities, and their associated security features, thereby revealing potential vulnerabilities. By illustrating how valuable data is accessed by different identities, such as users and roles, Theom provides a comprehensive view of security attributes, including user location and unusual access patterns. This holistic approach empowers organizations to make informed decisions about their data security strategies.

SecuPi presents a comprehensive data-centric security solution that includes advanced fine-grained access control (ABAC), Database Activity Monitoring (DAM), and various de-identification techniques such as FPE encryption, physical and dynamic masking, and right to be forgotten (RTBF) deletion. This platform is designed to provide extensive protection across both commercial and custom applications, encompassing direct access tools, big data environments, and cloud infrastructures. With SecuPi, organizations can utilize a single data security framework to effortlessly monitor, control, encrypt, and categorize their data across all cloud and on-premises systems without requiring any modifications to existing code. The platform is agile and configurable, enabling it to adapt to both current and future regulatory and auditing demands. Additionally, its implementation is rapid and cost-effective, as it does not necessitate any alterations to source code. SecuPi's fine-grained data access controls ensure that sensitive information is safeguarded, granting users access solely to the data they are entitled to, while also integrating smoothly with Starburst/Trino to automate the enforcement of data access policies and enhance data protection efforts. This capability allows organizations to maintain compliance and security effortlessly as they navigate their data management challenges.

Tenzir is a specialized data pipeline engine tailored for security teams, streamlining the processes of collecting, transforming, enriching, and routing security data throughout its entire lifecycle. It allows users to efficiently aggregate information from multiple sources, convert unstructured data into structured formats, and adjust it as necessary. By optimizing data volume and lowering costs, Tenzir also supports alignment with standardized schemas such as OCSF, ASIM, and ECS. Additionally, it guarantees compliance through features like data anonymization and enhances data by incorporating context from threats, assets, and vulnerabilities. With capabilities for real-time detection, it stores data in an efficient Parquet format within object storage systems. Users are empowered to quickly search for and retrieve essential data, as well as to reactivate dormant data into operational status. The design of Tenzir emphasizes flexibility, enabling deployment as code and seamless integration into pre-existing workflows, ultimately seeking to cut SIEM expenses while providing comprehensive control over data management. This approach not only enhances the effectiveness of security operations but also fosters a more streamlined workflow for teams dealing with complex security data.

Borneo serves as an advanced platform for real-time data security and privacy observability, aimed at equipping organizations with the tools needed to identify, address, and manage data risks while upholding privacy standards and compliance requirements. It allows users to pinpoint the locations of health, financial, and personally identifiable information (PII) across various unstructured data sources, SaaS applications, and public cloud settings. By utilizing a sophisticated risk correlation engine, Borneo detects data that breaches security protocols and privacy laws, facilitating prompt intervention. The platform also provides automated remediation options such as data masking, modifications to access permissions, and encryption, all while continuously monitoring data changes to ensure compliance and mitigate regulatory risks. Developed by former security experts from firms like Uber, Facebook, and Yahoo, Borneo is engineered to effectively manage data at scale. It incorporates a robust connector framework for seamless integration across disparate data environments, promotes flexible and modular deployment options, and guarantees that data remains securely within the user's cloud infrastructure. Ultimately, Borneo empowers organizations to maintain a proactive stance on data security and privacy management.